2018

• Multi-resolution Tensor Learning for Large-Scale Spatial Data
  S Zheng, R Yu, Y Yue
  arXiv preprint arXiv:1802.06825

• Tensor Regression Meets Gaussian Processes
  R Yu, G Li, Y Liu
  21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018)

• Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
  Y Li, R Yu, C Shahabi, Y Liu
  International Conference on Learning Representations (ICLR)

2017

• Long-term forecasting using tensor-train RNNs
  R Yu, S Zheng, A Anandkumar, Y Yue
  arXiv preprint arXiv:1711.00073

• Deep learning: A generic approach for extreme condition traffic forecasting
  R Yu, Y Li, C Shahabi, U Demiryurek, Y Liu
  Proceedings of the 2017 SIAM International Conference on Data Mining, 777-785

• Socratic learning: Correcting misspecified generative models using discriminative models. arXiv preprint
  P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
  arXiv preprint arXiv:1610.08123

2016

• Socratic learning: Empowering the generative model
  P Varma, R Yu, C De Sa, C Ré
  arXiv preprint arXiv:1610.08123

• Geographic segmentation via latent poisson factor model
  R Yu, A Gelfand, S Rajan, C Shahabi, Y Liu
  Proceedings of the Ninth ACM International Conference on Web Search and Data Mining

• Socratic Learning
  P Varma, R Yu, D Iter, C De Sa, C Ré
  Neural Information Processing Systems. Future of Interactive Learning Machines Workshop

• Learning from Multiway Data: Simple and Efficient Tensor Regression
  R Yu, Y Liu
  Proceedings of the 33rd International Conference on Machine Learning (ICML-16)

• Latent Space Model for Road Networks to Predict Time-Varying Traffic
  D Deng, C Shahabi, U Demiryurek, L Zhu, R Yu, Y Liu
  Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2016

2015

• GLAD: group anomaly detection in social media analysis
  R Yu, X He, Y Liu
  ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (2), 18

• Accelerated online low rank tensor learning for multivariate spatiotemporal streams
  R Yu, D Cheng, Y Liu
  International Conference on Machine Learning, 238-247

• A Survey on Social Media Anomaly Detection
  R Yu, H Qiu, Z Wen, CY Lin, Y Liu
  arXiv preprint arXiv:1601.01102

2014

• Fast Multivariate Spatio-Temporal Analysis via Low-Rank Tensor Learning
  R Yu, MT Bahadori, Y Liu
  Advances in Neural Information Processing Systems, 3491-3499

2011

• A Feasible Nonconvex Relaxation Approach to Feature Selection.
  C Gao, N Wang, Q Yu, Z Zhang
  Aaai, 356-361